Marivo
Metric-centered analysis runtime for AI agents.
Marivo is a Python library — not a hosted service or a chat UI — that turns a data warehouse into something an AI agent can analyze reliably. It is not a text-to-SQL wrapper: Python declarations are the contract, ibis expressions are the execution language, and typed frames are the boundary between analysis steps.
- Unified semantics — Datasources, entities, metrics, dimensions, and
relationships are declared in Python and addressed by semantic ref
(
sales.revenue), not raw table or column names. - Metric-centered analysis — Sessions start from a trusted metric and chain typed intents (observe, compare, decompose, correlate, forecast), each returning a typed frame.
- Trustworthy evidence — Every operator records findings, propositions, and assessments, so any conclusion can be traced back to its inputs.
- Readiness gates —
catalog.readiness()blocks incomplete semantic objects from analysis until authoring and access issues are resolved.
Requirements
Python 3.12 or newer.
Installation
pip install marivo
Install the backend extra that matches your datasource:
| Backend | Install command |
|---|---|
| DuckDB | pip install "marivo[duckdb]" |
| MySQL | pip install "marivo[mysql]" |
| Postgres | pip install "marivo[postgres]" |
| ClickHouse | pip install "marivo[clickhouse]" |
| Trino | pip install "marivo[trino]" |
| All packaged backends | pip install "marivo[all]" |
Marivo is deployed by installing the library where the agent runs, checking in
the models/ declarations, and providing datasource secrets through environment
variables referenced by *_env fields. There is no separate server.
If setup fails, run the read-only doctor first:
marivo doctor
marivo doctor --semantic
marivo doctor --datasource warehouse --connect
The default doctor checks installation, project layout, datasource declarations,
backend extras, secret references, and existing .marivo/ state without
connecting to databases or writing secrets. Use --semantic for semantic
load/readiness diagnostics and --connect only when you intentionally want a
live datasource round-trip.
Quick Start
Scaffold a project with the CLI:
marivo --version
marivo init
marivo init creates the project skeleton (marivo.toml, models/, .marivo/)
and installs the marivo-semantic and marivo-analysis skills into the shared
.agents/skills directory plus Claude Code and Codex compatibility directories,
so a coding agent can author the semantic layer with you.
Declare semantics under models/semantic/, then load and analyze:
import marivo.semantic as ms
import marivo.analysis as mv
catalog = ms.load()
report = catalog.readiness()
if report.status == "blocked":
report.show() # resolve blockers before analysis
session = mv.session.get_or_create(name="revenue-check", question="Why did Q4 drop?")
revenue = session.catalog.get("metric.sales.revenue")
region = session.catalog.get("dimension.sales.orders.region")
current = session.observe(revenue, time_scope={"start": "2026-10-01", "end": "2027-01-01"}, grain="month", dimensions=[region])
baseline = session.observe(revenue, time_scope={"start": "2025-10-01", "end": "2026-01-01"}, grain="month", dimensions=[region])
delta = session.compare(current, baseline)
session.decompose(delta, axis=region).show()
In-project help is available at every surface: ms.help() and mv.help() list
the surface; ms.help("metric") and mv.help("observe") drill into a symbol.
Documentation
Full guides live in the documentation site (built from site/):
- Installation — install,
marivo init, deploy. - Quick Start — author declarations, load a catalog, run a first analysis.
- Concepts — semantic layer, analysis workflow, readiness, and evidence.
Maintained agent guidance lives in marivo/skills/marivo-semantic and
marivo/skills/marivo-analysis.
Development
python3 -m venv .venv
.venv/bin/pip install -e ".[dev,duckdb,trino]"
Repository commands run through the local virtualenv via make:
make lint
make typecheck
make examples-check
make test
make check
Read agent-guide.md before contributing. See
CONTRIBUTING.md for the full workflow.
1 maintainer
Metadata
1 maintainer
Release files for marivo 0.2.8
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